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Chiorini_Thesis_Fall_2019.pdf (3.01 MB)

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Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio

Chiorini, Sutton
http://orcid.org/0000-0002-4790-0546
http://rave.ohiolink.edu/etdc/view?acc_num=miami1575050124689057

Abstract Details

2019, Master of Science, Miami University, Geology and Environmental Earth Science.
Induced seismicity has become a major issue with the increase in both hydraulic fracturing and disposal of leftover wastewater. Regulatory methods such as traffic light systems mitigate the impact of induced events, but do not predict when and where they will occur. Previous methods to identify induced seismicity (e.g. Caffagni et al., 2016; Yoon et al., 2015; Beauce et al. 2017) are effective, but require heavy computational requirements and/or multiple sensors to produce viable results. A computationally efficient Repeating Signal Detector (RSD) was recently developed to identify similar waveforms in continuous seismic data using a single seismometer. Instead of relying on a priori templates, RSD identifies repeating signals of interest (SoI) and then performs agglomerative clustering, resulting in a significantly faster processing time than other approaches. However, as RSD detects any repeating signal, not limited to earthquakes, the current study focuses on distinguishing repetitive seismicity from repetitive noise. In Central-eastern Ohio, the most effective approach has been to apply discriminants to resulting families post-cross-correlational routine, while in Southeastern Ohio, culling the SoI prior to clustering has been most effective. The successful methods for discrimination we constructed were based on signal characteristics such as relative amplitudes and correlation coefficients between components.
Michael Brudzinski (Advisor)
Brian Currie (Committee Member)
Carrie Tyler (Committee Member)
35 p.
Geological; Geology; Geophysical; Geophysics
induced seismicity machine learning algorithm signal processing matlab earthquakes ohio hydraulic fracturing wastewater disposal harrison monroe washington

Recommended Citations

Citations

  • Chiorini, S. (2019). Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1575050124689057

    APA Style (7th edition)

  • Chiorini, Sutton. Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio . 2019. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1575050124689057.

    MLA Style (8th edition)

  • Chiorini, Sutton. "Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio ." Master's thesis, Miami University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1575050124689057

    Chicago Manual of Style (17th edition)

miami1575050124689057
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© 2019, some rights reserved.Creative Commons License Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio by Sutton Chiorini is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Miami University and OhioLINK.